Dear alumni and friends,

The academic year is well under way here, and big changes are afoot. Read below about faculty research and the results of the CS working group report, which began last spring with a charge from UW Chancellor Rebecca Blank. If you'd like to share your thoughts about this, please contact me at [email protected]. And please spread the word - faculty recruitment is back on this fall!

Warm regards, Guri Sohi , Computer Sciences Chair
Report: UW-Madison should expand computing efforts
The Wisconsin Computing Idea is taking shape! We are excited to announce that the CS working group has published its report and made its recommendations, including creating a new computing school within L&S in the near term, followed by the establishment of a Faculty of Computing and Data Science (a la Cornell University). Be sure to click on the link at the end of the press release to access the report's Executive Summary - it's well worth a read!

Multi-university collaboration will use data science to find the next El Nino
Stephen Wright and his collaborators are "at the interface of data science and climate change,"  developing data-science tools (machine learning, network analysis, predictive modeling) to study teleconnections, such as El Nino, to help scientists and policymakers understand and prepare for climate change and extreme weather events. 

Kids connect with robot reading partners
Bilge Mutlu and grad student Joseph Michaelis believe companion robots will soon be a fixture in homes, and they wondered if those robots could serve as social learning companions for kids. So they  built a robot named Minnie to serve as a reading buddy to middle school kids, and Minnie's new friends grew more excited about books and more attached to the robot over two weeks of reading together.
UW-Madison Center for High Throughput Computing awarded grant to develop software to process data from High-Luminosity Large Hadron Collider
The Center for High Throughput Computing (CHTC) at the University of Wisconsin-Madison will receive more than $2.2 million as part of a $25 million grant from the National Science Foundation (NSF) to develop innovative software for processing the physics data expected from the next generation of particle accelerator, the High-Luminosity Large Hadron Collider (HL-LHC).

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